Today, managers are seeking more efficient use of resources and manufacturing the products with the highest efficiencies. Data Envelopment Analysis (DEA) is a powerful tool for evaluating the efficiency of the decision making units. So far, in most studies, Data Envelopment Analysis has been applied to evaluate the efficiency of the separate organizations. However, in this study, DEA has been applied to evaluate different products of a manufacturer, and to propose the optimal values for input and output attributes. At the first stage, the products’ efficiencies have been calculated using the classical models of DEA, with and without incontrollable variables. In the next stage, Interval Data Envelopment Analysis has been applied, since unexplainable changes have been observed in the data during the collecting time period. The results have been analysed according to the experts’ viewpoints and the actual situation. The results of this study indicate that BCC models provide more acceptable results in compare with CCR models. The Interval BCC model results are closer to reality in the studied unit in compare with classical BCC model’. Finally, the products’ efficiency rates have been compared using the average ranks, Borda and Copland methods.

Keywords: Production efficiency, Data Envelopment Analysis, Categorical data, Interval data

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